NiftiMapsMasker Class for masking of Niimg-like objects. NiftiMapsMasker is useful when data from overlapping volumes should be extracted (contrarily to :class:`nilearn.maskers.NiftiLabelsMasker`). Use case: Summarize brain signals from large-scale networks obtained by prior PCA or :term:`ICA`. Note that, Inf or NaN present in the given input images are automatically put to zero rather than considered as missing data.
>>>>>> refs/remotes/origin/main
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This reports shows the spatial maps provided to the mask.
The masker has 63 spatial maps in total.
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | True |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| keep_masked_maps | True |
| low_pass | None |
| maps_img | <class 'nibabel.nifti1.Nifti1Image'> data shape (104, 123, 104, 63) affine: [[ 2. 0. 0. -96.] [ 0. 2. 0. -132.] [ 0. 0. 2. -78.] [ 0. 0. 0. 1.]] metadata: <class 'nibabel.nifti1.Nifti1Header'> object, endian='<' sizeof_hdr : 348 data_type : b'' db_name : b'' extents : 0 session_error : 0 regular : b'' dim_info : 0 dim : [ 4 104 123 104 63 1 1 1] intent_p1 : 0.0 intent_p2 : 0.0 intent_p3 : 0.0 intent_code : none datatype : float64 bitpix : 64 slice_start : 0 pixdim : [1. 2. 2. 2. 1. 1. 1. 1.] vox_offset : 0.0 scl_slope : nan scl_inter : nan slice_end : 0 slice_code : unknown xyzt_units : 0 cal_max : 0.0 cal_min : 0.0 slice_duration : 0.0 toffset : 0.0 glmax : 0 glmin : 0 descrip : b'' aux_file : b'' qform_code : unknown sform_code : aligned quatern_b : 0.0 quatern_c : 0.0 quatern_d : 0.0 qoffset_x : -96.0 qoffset_y : -132.0 qoffset_z : -78.0 srow_x : [ 2. 0. 0. -96.] srow_y : [ 0. 2. 0. -132.] srow_z : [ 0. 0. 2. -78.] intent_name : b'' magic : b'n+1' |
| mask_img | <class 'nibabel.nifti1.Nifti1Image'> data shape (91, 109, 91) affine: [[ -2. 0. 0. 90.] [ 0. 2. 0. -126.] [ 0. 0. 2. -72.] [ 0. 0. 0. 1.]] metadata: <class 'nibabel.nifti1.Nifti1Header'> object, endian='<' sizeof_hdr : 348 data_type : b'' db_name : b'' extents : 0 session_error : 0 regular : b'' dim_info : 0 dim : [ 3 91 109 91 1 1 1 1] intent_p1 : 0.0 intent_p2 : 0.0 intent_p3 : 0.0 intent_code : none datatype : uint8 bitpix : 8 slice_start : 0 pixdim : [-1. 2. 2. 2. 1. 1. 1. 1.] vox_offset : 0.0 scl_slope : nan scl_inter : nan slice_end : 0 slice_code : unknown xyzt_units : 0 cal_max : 0.0 cal_min : 0.0 slice_duration : 0.0 toffset : 0.0 glmax : 0 glmin : 0 descrip : b'' aux_file : b'' qform_code : unknown sform_code : aligned quatern_b : 0.0 quatern_c : 1.0 quatern_d : 0.0 qoffset_x : 90.0 qoffset_y : -126.0 qoffset_z : -72.0 srow_x : [-2. 0. 0. 90.] srow_y : [ 0. 2. 0. -126.] srow_z : [ 0. 0. 2. -72.] intent_name : b'' magic : b'n+1' |
| memory | Memory(location=None) |
| memory_level | 0 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | True |
| t_r | None |
| verbose | 5 |